simplebench: bench_one(): add slow_limit argument

Sometimes one of cells in a testing table runs too slow. And we really
don't want to wait so long. Limit number of runs in this case.

Signed-off-by: Vladimir Sementsov-Ogievskiy <vsementsov@virtuozzo.com>
This commit is contained in:
Vladimir Sementsov-Ogievskiy 2021-01-28 18:12:17 +03:00
parent 53c5433e84
commit dab346986e

View file

@ -19,9 +19,11 @@
#
import statistics
import time
def bench_one(test_func, test_env, test_case, count=5, initial_run=True):
def bench_one(test_func, test_env, test_case, count=5, initial_run=True,
slow_limit=100):
"""Benchmark one test-case
test_func -- benchmarking function with prototype
@ -36,6 +38,8 @@ def bench_one(test_func, test_env, test_case, count=5, initial_run=True):
test_case -- test case - opaque second argument for test_func
count -- how many times to call test_func, to calculate average
initial_run -- do initial run of test_func, which don't get into result
slow_limit -- stop at slow run (that exceedes the slow_limit by seconds).
(initial run is not measured)
Returns dict with the following fields:
'runs': list of test_func results
@ -53,11 +57,19 @@ def bench_one(test_func, test_env, test_case, count=5, initial_run=True):
runs = []
for i in range(count):
t = time.time()
print(' #run {}'.format(i+1))
res = test_func(test_env, test_case)
print(' ', res)
runs.append(res)
if time.time() - t > slow_limit:
print(' - run is too slow, stop here')
break
count = len(runs)
result = {'runs': runs}
succeeded = [r for r in runs if ('seconds' in r or 'iops' in r)]